110 research outputs found
Super-directional light emission and emission reversal from micro cavity arrays
Optical microdisk cavities with certain asymmetric shapes are known to
possess unidirectional far-field emission properties. Here, we investigate
arrays of these dielectric microresonators with respect to their emission
properties resulting from the coherent behaviour of the coupled constituents.
This approach is inspired by electronic mesoscopic physics where the additional
interference effects are known to enhance the properties of the individual
system. As an example we study the linear arrangement of nominally identical
Lima\c{c}on-shaped cavities and find mostly an increase of the portion of
directional emitted light while its angular spread is largely diminished from
20 degrees for the single cavity to about 3 degrees for a linear array of 10
Lima\c{c}on resonators, in fair agreement with a simple array model. Moreover,
by varying the inter-cavity distance we observe windows of reversion of the
emission directionality and super-directionality that can be interesting for
applications. We introduce a generalized array factor model that takes the
coupling into account.Comment: 5 pages, 5 figures, supplemental materia
A Benchmark Environment Motivated by Industrial Control Problems
In the research area of reinforcement learning (RL), frequently novel and
promising methods are developed and introduced to the RL community. However,
although many researchers are keen to apply their methods on real-world
problems, implementing such methods in real industry environments often is a
frustrating and tedious process. Generally, academic research groups have only
limited access to real industrial data and applications. For this reason, new
methods are usually developed, evaluated and compared by using artificial
software benchmarks. On one hand, these benchmarks are designed to provide
interpretable RL training scenarios and detailed insight into the learning
process of the method on hand. On the other hand, they usually do not share
much similarity with industrial real-world applications. For this reason we
used our industry experience to design a benchmark which bridges the gap
between freely available, documented, and motivated artificial benchmarks and
properties of real industrial problems. The resulting industrial benchmark (IB)
has been made publicly available to the RL community by publishing its Java and
Python code, including an OpenAI Gym wrapper, on Github. In this paper we
motivate and describe in detail the IB's dynamics and identify prototypic
experimental settings that capture common situations in real-world industry
control problems
A Benchmark Environment Motivated by Industrial Control Problems
In the research area of reinforcement learning (RL), frequently novel and
promising methods are developed and introduced to the RL community. However,
although many researchers are keen to apply their methods on real-world
problems, implementing such methods in real industry environments often is a
frustrating and tedious process. Generally, academic research groups have only
limited access to real industrial data and applications. For this reason, new
methods are usually developed, evaluated and compared by using artificial
software benchmarks. On one hand, these benchmarks are designed to provide
interpretable RL training scenarios and detailed insight into the learning
process of the method on hand. On the other hand, they usually do not share
much similarity with industrial real-world applications. For this reason we
used our industry experience to design a benchmark which bridges the gap
between freely available, documented, and motivated artificial benchmarks and
properties of real industrial problems. The resulting industrial benchmark (IB)
has been made publicly available to the RL community by publishing its Java and
Python code, including an OpenAI Gym wrapper, on Github. In this paper we
motivate and describe in detail the IB's dynamics and identify prototypic
experimental settings that capture common situations in real-world industry
control problems
Optische Systeme im Phasenraumbild
Optical Microcavities are established model systems for non-linear dynamics. This motivates their description in phase space using Husimi-Functions, which give insight into the main radiation directions and the mode distribution at the dielectric interface. In this work, we generalize the application of Husimi-Functions to coupled microcavity systems
Geometric Guidance for the Deployment of Elastic Geodesic Grids
Elastic gridshells are advanced free-form structures enabling curved target
shapes and material-efficient large spans. This paper focuses on a novel type
of gridshells recently proposed employing a scissor-like deployment mechanism.
While recent form-finding advancements have produced fascinating outcomes, a
significant challenge arises when architecturally implementing such mechanisms:
for the realization of real-world structures, professional FEA is necessary.
However, performing Finite Element simulations of these structures proves
surprisingly complex due to the requirement of simulating the deployment -- a
task nearly unachievable using uninformed approaches. Therefore, geometric
guidance of the highly elastic gridshells while simulating the expansion is
essential. Present solutions to this predicament primarily involve rudimentary
trial-and-error methods, suitable only for the most basic shapes. We propose a
solution involving the provision of geometric guidance via sequences of linear
displacements synchronized with a universal time parameter. When applied to
chosen positions, this allows for multi-step gridshell deployment and
successfully avoids undesirable buckling issues. We conclude with successful
demonstrations of our method, anticipating our work to pave the way for further
quantitative explorations of these intriguing structures.Comment: journal preprint, 10 pages including appendix, 13 figure
Tajixanthonhydrat und dessen Verwendung zur Behandlung von Tumorerkrankungen
Es werden Tajixanthonhydrat sowie Tajixanthonhydrat-Derivate der allgemeinen Formel I $F1 beschrieben sowie ein Verfahren zu ihrer Herstellung. Tajixanthonhydrat besitzt u. a. eine ausgeprägte Biofilm-inhibierende Wirkung gegen Staphylococcus epidermidis
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